Fomitcheva-Khartchenko Anna, Kashyap Aditya, Geiger Tamar, Kaigala Govind V
IBM Research Europe, Rüshlikon, 8803, Switzerland.
Weizmann Institute of Science, Rehovot 76100, Israel.
Trends Cancer. 2022 Dec;8(12):1019-1032. doi: 10.1016/j.trecan.2022.07.008. Epub 2022 Aug 20.
Tumor cells present complex behaviors in their interactions with other cells. This intricate behavior is driving the need to develop new tools to understand these ecosystems. The surge of spatial technologies allows evaluation of the complexity of relationships between cells present in a tumor, giving insights about tumor heterogeneity and the tumor microenvironment while providing clinically relevant metrics for tumor classification. In this review, we describe key results obtained using spatial techniques, present recent advances in methods to uncover spatially relevant biological significance, and summarize their main characteristics. We expect spatial technologies to significantly broaden our understanding of tumor biology and to generate clinically relevant tools that will ultimately impact personalized medicine.
肿瘤细胞在与其他细胞相互作用时呈现出复杂的行为。这种复杂的行为促使人们需要开发新工具来理解这些生态系统。空间技术的兴起使得评估肿瘤中细胞间关系的复杂性成为可能，有助于深入了解肿瘤异质性和肿瘤微环境，同时为肿瘤分类提供临床相关指标。在这篇综述中，我们描述了使用空间技术获得的关键结果，介绍了揭示空间相关生物学意义的方法的最新进展，并总结了它们的主要特征。我们期望空间技术能显著拓宽我们对肿瘤生物学的理解，并产生最终将影响个性化医疗的临床相关工具。
